Bai, Y., Cai, B.Y., Tan, Y.K., Chen, S., Shu.Y., & Chen, T. (2025). FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation.. The 39th Annual AAAI Conference on Artificial Intelligence.

Neo, D., Winkler, S., & Chen, T. (2024). MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift.. The 38th AAAI Conference on Artificial Intelligence.

Bai, Y., Cai, B.Y., Tan, Y.K., Zheng, Z., Chen, S., & Chen, T. (2024). FSL-QuickBoost: Minimal-Cost Ensemble for Few-Shot Learning. Proceedings of the 32nd ACM International Conference on Multimedia , P8326-8335.

Huang, Y., Zhang, S., Lakshmanan, L.V.S., Lin, W., Xiao, K., & Tang, B. (2024). Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. Proceedings of the Very Large Databases (VLDB) Endowment, Vol. 18, Issue 2.

Ang, Y., Huang, Q., Bao, Y., Tung, A.K.H., & Huang, Z. (2024). TSGBench: Time Series Generation Benchmark. Proceedings of the International Conference on Very Large Databases (VLDB), Vol. 17, Issue 3.

Wu, B., Huang, Q., & Tung, A.K.H. (2024). From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying. Proceedings of the International Conference on Very Large Databases (VLDB), Vol. 17, Issue 8.

Ang, Y., Bao, Y., Huang, Q., Tung, A.K.H., & Huang, Z. (2024). TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking. Proceedings of the International Conference on Very Large Databases (VLDB), Vol. 17, Issue 12.

Tang, Y. & Tung, A. (2024). Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI).

Barik, A.M., Hsu, W., & Lee, M.L. (2024). Time Matters: An End-to-End Solution for Temporal Claim Verification. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP Industry).

Fei, H., Luo, M., Xu, J., Wu, S., Ji, W., Lee, M.L., & Hsu, W. (2024). Fine-grained Structural Hallucination Detection for Unified Visual Comprehension and Generation in Multimodal LLM. Proceedings of ACM Multimedia (ACM MM) Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models (MIS).

Luo, M., Fei, H., Li, B., Wu, S., Liu, Q., Poria, S., Cambria, E., Lee, M.L., & Hsu, W. (2024). PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. Proceedings of ACM Multimedia (ACM MM) Oral.

Sun, Y., Huang, Q., Wang, Y., & Tung, A.K.H. (2024). DiversiNews: Enriching News Consumption with Relevant Yet Diverse News Articles Retrieval. Proceedings of the 50th International Conference on Very Large Databases (VLDB) Endowment.

Abbas, F., & Taeihagh, A. (2024). Semantic Facial Features and Expression Manipulation Using Multi-Level IC-DGAN Framework. International Joint Conference on Neural Networks (IJCNN).

Furniturewala, S., Jaidka, K. & Sharma, Y. (2024). Impact of Decoding Methods on Human Alignment of Conversational LLMs. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA). Association for Computational Linguistics (ACL).

Yan, Z., Lee, M.L., Hsu, W., & Bartram-Shaw, D.R. (2024). Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA). Association for Computational Linguistics (ACL).

Xu, J., Fei, H., Pan, L., Liu, Q., Lee, M.L. & Hsu, W. (2024). Faithful Logical Reasoning via Symbolic Chain-of-Thought. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).

Fei, H., Wu, S., Ji, W., Zhang, H., Zhang, M., Lee, M.L. & Hsu, W. (2024). Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. Proceedings of the 41st International Conference on Machine Learning (ICML, Oral).

Soto-Sanfiel, M.T. & Saha, S. (2024). Predicting Deepfake Enjoyment: A Machine Learning Perspective. International Conference on Human-Computer Interaction.

Peng, Q., Yan, Z.H., Hsu, W. & Lee, M.L. (2024). SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).

Lee, S.J., Hsu, W. & Lee, M.L. (2024). An End-to-End Vision Transformer Approach for Image Copy Detection. CVPR Workshop on Multimodal Content Moderation (MMCM).

Lee, S.J., Hsu, W. & Lee, M.L. (2024). Combatting Disinformation involving AI-Generated Images through Frequency-guided Channel and Spatial Attention. IJCAI Workshop on Trustworthy AI.

Lu, X.Y., Pan, L.M., Liu, Q., Nakov, P., & Kan, M.Y. (2023). SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Pan, L., Lu, X., Kan, M.Y., & Nakov, P. (2023). QACheck: A Demonstration System for Question-Guided Multi-hop Fact-Checking. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Pan, Y.K., Pan, L.M., Chen, W.H., Nakov, P., Kan, M.Y. & Wang, W.Y. (2023). On the Risk of Misinformation Pollution with Large Language Models. Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP).

Yeo, G., & Jaidka, K. (2023). The PEACE-Reviews dataset: Modeling Cognitive Appraisals in Emotion Text Analysis. Findings of the Empirical Methods and Natural Language Processing Conference (Findings of EMNLP).

Liu, X., & Jaidka, K. (2023). I am PsyAM: Modeling Happiness with Cognitive Appraisal Dimensions. Findings of the Association for Computational Linguistics (Findings of ACL).

Pan, L.M., Chen W.H., Kan, M.Y. & Wang, W.Y. (2023). Attacking Open-domain Question Answering by Injecting Misinformation. 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL).

Pan, L.M., Zhang, Y.X. & Kan, M.Y. (2023). Investigating Zero- and Few-shot Generalization in Fact Verification. 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL).

Xu, D., Fan, S.J., & Kankanhalli, M. (2023). Combating Misinformation in the Era of Generative AI Models. 31st ACM International Conference on Multimedia (ACM MM).

Saha, S., Perera, R., Seneviratne, S., Malepathirana, T., Rasnayaka, S., Geethika, D., Sim, T., & Halgamuge, S. (2023). Undercover Deepfakes: Detecting Fake Segments in Videos. IEEE/CVF International Conference on Computer Vision (ICCV), pp. 415-425.

Ng, L.H.X., Lim, A. & Taeihagh A. (2023). Comparative analysis of governance of biometrics in AI systems. 6th International Conference on Public Policy (ICPP6).

Pan, L., Wu, X., Lu, X., Luu, A.T., Wang, W., Kan, M. & Nakov, P. (2023). Fact-Checking Complex Claims with Program-Guided Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).

Pfeffer, J., Matter, D., Jaidka, K., Varol, O., Mashhadi, A., Lasser, L., Assenmacher, D., Wu, S., Yang, D., Brantner, C., Romero, D.M., Otterbacher, J., Schwemmer, C., Joseph, K., Garcia, D., & Morstatter, F. (2023). Just another day on Twitter: A complete 24 hours of Twitter data. Proceedings of the 17th International AAAI Conference on Web and Social Media.

Gollapalli, S.D., Du, M. & Ng, S.K. (2023). Identifying checkworthy CURE claims on Twitter. Proceedings of the Web Conference.

Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S. & Wyse L. (2023). Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas. Proceedings of the 28th International Conference on Intelligent User Interfaces.

Zhang, Z., He, B. & Zhang, Z. (2023). Practical edge kernels for integer-only vision transformers under post-training quantization. Proceedings of Machine Learning and Systems (MLSys).

Zhang, B, and Sim, T. (2022). Localizing Fake Segments in Speech. 26th IEEE International Conference on Pattern Recognition (ICPR), pp. 3224-3230.

Zhang, Z., He, B. & Zhang, Z. (2022). HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. Proceedings of the 51st International Conference on Parallel Processing.

Zhu, Z., Mitchell, A. & Zhang, R. (2022). Developing Intentional Relationships with Technologies: An Exploratory Study of Players’ Experiences with Built-in Interventions in Games. Proceedings of Designing Interactive Systems Conference (DIS).

Sia, S., Jaidka, K., Ahuja, H., Chhaya, N. & Duh, K. (2022). Offer a different perspective: Modeling the belief alignment of arguments in multi-party debates. Proceedings of the Conference on Empirical Methods in Natural Language Processing (ENMLP).

Gollapalli, S.D., Du, M., & Ng, S.K. (2022). Identifying check-worthiness of tweets using CheckthaT5. Proceedings of the Working Notes of CLEF (Conference and Labs of the Evaluation Forum).

Wu, S. (2022). What motivates audiences to report fake news?: Towards a framework of factors that drive the community reporting of fake news on social media. 105th Annual Conference of the Association for Education in Journalism and Mass Communication (AEJMC 2022).

Cui, J., Zhang, T., Jaidka, K., Pang, D., Sherman, G., Jakhetiya,V., Ungar, L.H. & Guntuku, S.C. (2022). Social media reveals urban-rural differences in stress across China. Proceedings of the 16th International AAAI Conference on Web and Social Media.

Jaidka, K. (2022). Developing a multilabel corpus for the quality assessment of online political talk. Proceedings of the 13th Language Resources and Evaluation Conference (LREC).

Barik, A.M., Hsu, W., & Lee, M.L. (2022). Incorporating external knowledge for evidence-based fact verification. Companion Proceedings of the Web Conference (2nd International Workshop on Knowledge Graphs for Online Discourse Analysis).

Yang, Y., Li, Y., Panagiotis Karras, P. & Tung, A.K.H. (2021). Context-aware outstanding fact mining from knowledge graphs. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (SIGKDD).

Yang, Y., Li, Y. & Tung, A.K.H. (2021). NewsLink: Empowering intuitive news search with knowledge graphs. Proceedings of the 37th International Conference on Data Engineering (ICDE).

Tan, S., Joty, S., Baxter, K., Taeihagh, A., Bennett, G.A., & Kan, M. (2021). Reliability testing for natural language processing systems. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP).

Pan, L., Chen, W., Xiong, W., Kan, M., Wang, W. (2021). Zero-shot Fact Verification by Claim Generation. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

Lee, S.J., Li, T., Hsu, W., & Lee, M.L. (2021). Repurpose image identification for fake news detection. Proceedings of the 32nd International Conference on Database and Expert Systems Applications (DEXA).

Panchendrarajan, R., Hsu, W., & Lee, M.L. (2021). Emotion-aware event summarization in microblogs. Companion Proceedings of the Web Conference (9th International Workshop on Natural Language Processing for Social Media).

Samarinas, C., Hsu, W., & Lee, M.L. (2021). Improving evidence retrieval for automated explainable fact-checking. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

Zhang, R., Bazarova,N. & Reddy, M. (2021). Distress disclosure across social media platforms during the COVID-19 pandemic: Untangling the effects of platforms, affordances, and audiences. Proceedings of the CHI Conference on Human Factors in Computing Systems.

Samarinas, C., Hsu, W., & Lee, M.L. (2020). Latent retrieval for large-scale fact-checking and question answering with NLI training. Proceedings of the IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Li, T., Hsu W., Lee, M.L., & Chieu, H.L. (2020). Probabilistic decision modeling in social networks. Proceedings of the IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

von der Weth, Christian, Ashraf, A., Fan, S. & Kankanhalli, M. (2020). Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda. Proceedings of the 28th ACM International Conference on Multimedia.

von der Weth, Christian, Vachery, J. & Kankanhalli, M. (2020). Nudging Users to Slow Down the Spread of Fake News in Social Media. Proceedings of the IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

Jensen, O. (2020). Communicating COVID-19 risk in Singapore. Resilient Cities Network Speaker Series.